Emergent Drift Detector
Ki · Reasoning
The Problem
The temperature control system shows a growth stall, but the trend should continue as before without any adjustments.
The Operation
Under this ability, the model must compute rate of change for key system metrics over the recent observation window. Classify trajectory: is rate of change increasing, steady, or decreasing? Decreasing rate with continued growth signals saturation. Scan for tipping points where metrics show accelerating deviation from trend. Verify pattern holds across 2+ independent metrics. Output drift type, ceiling or tipping threshold, and metric evidence. The reasoning applies a formal computation: rate of change = delta(metric) / delta(time); per metric. Assume linear continuation is rejected.
The Structure
The reasoning structure is a gated pipeline where each step must pass a decision gate before the next can execute.
If gradual parameter shifts are not monitored for approaching a critical threshold, emergent drift detection was not active.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.
Appears in Use Cases